Engineering and Technology
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
In today's digital age, networks play a crucial role in various aspects of our lives, from popular social media platforms like Facebook and Twitter to efficient transportation systems like bike sharing. As a data scientist, understanding how to analyze networks is a valuable skill that can unlock a world of possibilities for you. This comprehensive course aims to equip you with the necessary tools to effectively analyze, visualize, and interpret networks. Throughout this course, you will delve into the powerful NetworkX library, enabling you to apply the concepts you learn to real-world network data. By gaining proficiency in network analysis, you will develop a fresh perspective and enhance your ability to make sense of complex data sets. This newfound knowledge will sharpen your network thinking skills, enabling you to approach your data with a heightened level of insight and understanding. In summary, this course offers a unique opportunity to expand your analytical capabilities and explore the intricate world of networks. By mastering network analysis techniques and leveraging the NetworkX library, you will gain a competitive edge as a data scientist and be well-equipped to tackle the challenges of analyzing and interpreting network data.
by DataCamp
This course will equip you with the skills to analyze, visualize, and make sense of networks using t...
by DataCamp
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in...
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Learn about risk management, value at risk and more applied to the 2008 financial crisis using Pytho...
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Learn to analyze and visualize network data with the igraph package and create interactive network p...
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Learn to start developing deep learning models with Keras.
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Learn the power of deep learning in PyTorch. Build your first neural network, adjust hyperparameters...
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Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in P...
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Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
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Learn to create deep learning models with the PyTorch library.
by DataCamp
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algori...